Innovation and network multiplexity: R&D and the concurrent effects of two collaboration networks in an emerging economy

This study focuses on the multiplexity of firm R&D networks, and it investigates two types of boundary-spanning networks: the bipartite network between firms and government-sponsored institutions (GSIs), and the traditional firm–firm network. We apply a social network perspective to examine the effects that these kinds of networks have on firm innovativeness, in relation to the effects of the firm’s internal R&D efforts. We define the firm-GSI network as bipartite, and we investigate how the structural characteristics of this network (cohesion and centrality) affect innovativeness. We then decompose the innovational effects of firm–firm networks into two categories (intra- and inter-sector) to distinguish the effects of these collaboration networks. Furthermore, we investigate how these various external collaborative networks interact with a firm’s internal R&D efforts for driving innovativeness. Our empirical study of 420 manufacturing firms in Mexico evaluates evidence from surveys and secondary data. The findings indicate that the structural properties of both firm–GSI and firm–firm networks have positive effects on innovativeness, but firm–GSI network cohesion has a stronger negative interaction with R&D in influencing firm innovativeness. Moreover, intra-sector centrality in a firm–firm network has a stronger negative interaction with R&D than inter-sector centrality does in driving firm innovativeness. We contribute to the literature by integrating insights from the perspectives of network multiplexity, social embeddedness, and resource complementarity in regard to inter-organizational behavior. Our study also provides meaningful guidelines for both managers and policy makers. The study’s findings are robust to concerns of common method bias and alternative model specifications.     

“Everybody’s hard times are different”: country as a political investment in white masculine precarity

Recognizing the complex interplay between country music, lifestyle, and identity, and the disparate nature of these texts and their producers, we center our analysis of the politics of contemporary “country” in the accounts of country music listeners. Through this lens, “country” foregrounds a portrait of precarious labor and white rural economies. Precarity is held up as aspirational, facilitated by the relative structural support of whiteness and masculinity that simultaneously leverages economic hardship to obfuscate these privileged positions. “Country” elides experiences of class marginalization, white rurality, and masculinized labor with mythologized narratives that position simplicity and work as “the good life.”     

Narrative approaches to the transfer of organisational knowledge

Narratives, or stories, have been identified as one of the ways in which knowledge might be transferred, shared or exchanged in organisational settings. Beyond their identification, little consideration has been given to the ways in which narrative approaches can increase our understanding of the creation and dissemination of knowledge in organisations. This paper reflects upon some of the ways in which narrative approaches might contribute towards a better understanding of organisational knowledge management. It contributes to the debate on the nature and significance of the contextual features of organisational knowledge, particularly the role of tacit knowledge, and identifies some of the distinctions between formal and informal knowledge transfer mechanisms, which operate (with or without effective management) within organisations.     

Discrete-time recurrent high order neural networks for nonlinear identification

This paper focuses on the problem of discrete-time nonlinear system identification via recurrent high order neural networks. It includes the respective stability analysis on the basis of the Lyapunov approach for the NN training algorithm. Applicability of the proposed scheme is illustrated via simulation for a discrete-time nonlinear model of an electric induction motor.     

Teachers' ratings vs standardized tests: An empirical investigation of agreement between two indices of achievement

The degree of correlation between teachers' ratings of vocabulary, comprehension, mathematics, and verbal intelligence with scores from the Progressive Achievement Tests (PAT) plus the Peabody Picture Vocabulary Test-Revised (PPVT-R) was assessed with 120 boys and 110 girls aged 8.6 to 10.5 years in three southeastern suburban state schools in Melbourne. Teachers' ratings of students' general attitude also were collected. While results indicated that significant correlations did exist between data from the two sets of measures, these accounted for only small amounts of the total variance, suggesting that two almost discrete domains of information were being tapped. The need for reconciliation between these two domains is discussed and the presence of sex bias in teachers' ratings is raised for further study.     

Intermingling and bumpiness: Exploring meaning making in the discourse of a science classroom

In this study we capture and analyse in qualitative terms the conversational rhythm—the ebb and the flow of meaning making—in a Year 5 class in order to understand when and how teacher and students succeed in developing shared understandings, and when and how they encounter difficulties. We use the two contrasting concepts of intermingling and bumpiness to catch the phenomenological aspect of time in the science class, which is constituted by the voices of the teacher and the students as they come together to construct disciplinary knowledge. It is a collaborative action research that sheds light on the struggles and possibilities that arise in a science class as a teacher enacts a socio-cultural perspective and engages his students in collecting and analysing experimental data and reasoning through a particular model.